Constant Variable Example Science



  constant variable example science: The Sourcebook for Teaching Science, Grades 6-12 Norman Herr, 2008-08-11 The Sourcebook for Teaching Science is a unique, comprehensive resource designed to give middle and high school science teachers a wealth of information that will enhance any science curriculum. Filled with innovative tools, dynamic activities, and practical lesson plans that are grounded in theory, research, and national standards, the book offers both new and experienced science teachers powerful strategies and original ideas that will enhance the teaching of physics, chemistry, biology, and the earth and space sciences.
  constant variable example science: Programming Fundamentals Kenneth Leroy Busbee, 2018-01-07 Programming Fundamentals - A Modular Structured Approach using C++ is written by Kenneth Leroy Busbee, a faculty member at Houston Community College in Houston, Texas. The materials used in this textbook/collection were developed by the author and others as independent modules for publication within the Connexions environment. Programming fundamentals are often divided into three college courses: Modular/Structured, Object Oriented and Data Structures. This textbook/collection covers the rest of those three courses.
  constant variable example science: Reproducibility and Replicability in Science National Academies of Sciences, Engineering, and Medicine, Policy and Global Affairs, Committee on Science, Engineering, Medicine, and Public Policy, Board on Research Data and Information, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, Division on Earth and Life Studies, Nuclear and Radiation Studies Board, Division of Behavioral and Social Sciences and Education, Committee on National Statistics, Board on Behavioral, Cognitive, and Sensory Sciences, Committee on Reproducibility and Replicability in Science, 2019-10-20 One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.
  constant variable example science: Scientific American Science Desk Reference The Editors of Scientific American, 2008-05-02 Who names newly discovered planets? What exactly are black holes? Where are there the most earthquakes? When did the first Homo sapiens walk the earth? Why is the night sky dark? How does the fluoride in toothpaste prevent cavities? Since 1845, Scientific American has answered questions and provided the best information available in all areas of science. Now, Scientific American is proud to present an accessible, one-volume reference covering all the sciences. Whether you want to examine the tiniest microbes, the properties of the earth's core, or the farthest reaches of space, this handy desk reference is the resource to turn to for the answers you need. * Over 500 biographies of key science figures * Thousands of glossary terms * Hundreds of useful Web sites * Tables, charts, diagrams, and illustrations * Sidebars featuring fascinating facts, mnemonic aids, and quizzes * Essays exploring ideas in-depth
  constant variable example science: The Constants of Nature John Barrow, 2009-05-06 Reality as we know it is bound by a set of constants—numbers and values that dictate the strengths of forces like gravity, the speed of light, and the masses of elementary particles. In The Constants of Nature, Cambridge Professor and bestselling author John D.Barrow takes us on an exploration of these governing principles. Drawing on physicists such as Einstein and Planck, Barrow illustrates with stunning clarity our dependence on the steadfastness of these principles. But he also suggests that the basic forces may have been radically different during the universe’s infancy, and suggests that they may continue a deeply hidden evolution. Perhaps most tantalizingly, Barrow theorizes about the realities that might one day be found in a universe with different parameters than our own.
  constant variable example science: Social Science Research Anol Bhattacherjee, 2012-04-01 This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
  constant variable example science: R for Data Science Hadley Wickham, Garrett Grolemund, 2016-12-12 Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true signals in your dataset Communicate—learn R Markdown for integrating prose, code, and results
  constant variable example science: Story Starters and Science Notebooking Sandy Buczynski, Kristin Fontichiaro, 2009-05-19 Story Starters and Science Notebooking: Developing Student Thinking Through Literacy and Inquiry is designed to provide a meaningful, comfortable framework in which teachers and parents can encourage elementary children to explore scientific ideas in an inquiry-oriented format. The basis for each scientific concept presented in Story Starters and Science Notebooking is embedded in a story appropriate for elementary-aged children. The activity that follows each narrative encourages learners to observe, compare, gather data, organize or classify, and draw conclusions about the problem posed from the story. Because current scientific knowledge and understanding guide scientific investigations, background information in each chapter provides teachers with a synopsis of the scientific concept involved in the activity for that story. The story starters present a framework for inquiry, which eliminates the free-wheeling, uncontrolled, and unstructured view some teachers have of inquiry. These are either original stories or familiar children's stories that ask learners to investigate a possible scientific explanation for a problem or scenario. Learners then communicate their findings in an oral, written, pictorial, or technological form back to a lead character from the story. Extension activities provide an opportunity for learners to compare their answers with what scientists already know about the world and also motivate them to frame new questions. Grades 3-6
  constant variable example science: Excel Science Study Guide, Years 9-10 Will Marchment, 2004 The book contains: coverage of five major topic areas in the NSW School Certificate test Energy, Force and Motion Atoms, Elements and Compounds Structure and Function of Liv ing Things Earth and Space Ecosystems, Resources and T echnology a chapter on Investigations and Problem Solving in Sc ience to help with practical skills revision questions and chap ter tests to help you remember important information a glossary and summary in each section of the book diagrams and illustrat ions to help your understanding a section to help you prepare f or the School Certificate test a sample School Certificate test paper with answers answers to all questions
  constant variable example science: Statistics and Analysis of Scientific Data Massimiliano Bonamente, 2016-11-08 The revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields. It covers a broad range of numerical and analytical methods that are essential for the correct analysis of scientific data, including probability theory, distribution functions of statistics, fits to two-dimensional data and parameter estimation, Monte Carlo methods and Markov chains. Features new to this edition include: • a discussion of statistical techniques employed in business science, such as multiple regression analysis of multivariate datasets. • a new chapter on the various measures of the mean including logarithmic averages. • new chapters on systematic errors and intrinsic scatter, and on the fitting of data with bivariate errors. • a new case study and additional worked examples. • mathematical derivations and theoretical background material have been appropriately marked, to improve the readability of the text. • end-of-chapter summary boxes, for easy reference. As in the first edition, the main pedagogical method is a theory-then-application approach, where emphasis is placed first on a sound understanding of the underlying theory of a topic, which becomes the basis for an efficient and practical application of the material. The level is appropriate for undergraduates and beginning graduate students, and as a reference for the experienced researcher. Basic calculus is used in some of the derivations, and no previous background in probability and statistics is required. The book includes many numerical tables of data, as well as exercises and examples to aid the readers' understanding of the topic.
  constant variable example science: Exploring Science June Mitchelmore, 1999-04 Useful for the first three years of Secondary school, this is a three book series. It provides an introduction to the world of Science and is a helpful foundation for CXC separate sciences and CXC single award Integrated Science. Written in clear English, it is suitable for a range of abilities.
  constant variable example science: ,
  constant variable example science: Science John Michels (Journalist), 1907
  constant variable example science: Los Alamos Science , 1986
  constant variable example science: Flexible Imputation of Missing Data, Second Edition Stef van Buuren, 2018-07-17 Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, which are often not met in practice. Multiple imputation replaces each missing value by multiple plausible values. The variability between these replacements reflects our ignorance of the true (but missing) value. Each of the completed data set is then analyzed by standard methods, and the results are pooled to obtain unbiased estimates with correct confidence intervals. Multiple imputation is a general approach that also inspires novel solutions to old problems by reformulating the task at hand as a missing-data problem. This is the second edition of a popular book on multiple imputation, focused on explaining the application of methods through detailed worked examples using the MICE package as developed by the author. This new edition incorporates the recent developments in this fast-moving field. This class-tested book avoids mathematical and technical details as much as possible: formulas are accompanied by verbal statements that explain the formula in accessible terms. The book sharpens the reader’s intuition on how to think about missing data, and provides all the tools needed to execute a well-grounded quantitative analysis in the presence of missing data.
  constant variable example science: The Ohio Journal of Science , 1927 Includes book reviews and abstracts.
  constant variable example science: Teaching Science to Every Child John Settlage, Sherry Southerland, 2012-04-23 Teaching Science to Every Child provides timely and practical guidance about teaching science to all students. Particular emphasis is given to making science accessible to students who are typically pushed to the fringe - especially students of color and English language learners. Central to this text is the idea that science can be viewed as a culture, including specific methods of thinking, particular ways of communicating, and specialized kinds of tools. By using culture as a starting point and connecting it to effective instructional approaches, this text gives elementary and middle school science teachers a valuable framework to support the science learning of every student. Written in a conversational style, it treats readers as professional partners in efforts to address vital issues and implement classroom practices that will contribute to closing achievement gaps and advancing the science learning of all children. Features include Point/Counterpoint essays that present contrasting perspectives on a variety of science education topics; explicit connections between National Science Education Standards and chapter content; and chapter objectives, bulleted summaries, key terms; reflection and discussion questions. Additional resources are available on the updated and expanded Companion Website www.routledge.com/textbooks/9780415892582 Changes in the Second Edition Three entirely new chapters: Integrated Process Skills; Learning and Teaching; Assessment Technological tools and resources embedded throughout each chapter Increased attention to the role of theory as it relates to science teaching and learning Expanded use of science process skills for upper elementary and middle school Additional material about science notebooks --Provided by publisher
  constant variable example science: COLT '89 COLT, 2014-06-28 Computational Learning Theory presents the theoretical issues in machine learning and computational models of learning. This book covers a wide range of problems in concept learning, inductive inference, and pattern recognition. Organized into three parts encompassing 32 chapters, this book begins with an overview of the inductive principle based on weak convergence of probability measures. This text then examines the framework for constructing learning algorithms. Other chapters consider the formal theory of learning, which is learning in the sense of improving computational efficiency as opposed to concept learning. This book discusses as well the informed parsimonious (IP) inference that generalizes the compatibility and weighted parsimony techniques, which are most commonly applied in biology. The final chapter deals with the construction of prediction algorithms in a situation in which a learner faces a sequence of trials, with a prediction to be given in each and the goal of the learner is to make some mistakes. This book is a valuable resource for students and teachers.
  constant variable example science: International Encyclopedia of Political Science Bertrand Badie, Dirk Berg-Schlosser, Leonardo Morlino, 2011-09-07 With entries from leading international scholars from around the world, this eight-volume encyclopedia offers the widest possible coverage of key areas both regionally and globally. The International Encyclopedia of Political Science provides a definitive, comprehensive picture of all aspects of political life, recognizing the theoretical and cultural pluralism of our approaches and including findings from the far corners of the world. The eight volumes cover every field of politics, from political theory and methodology to political sociology, comparative politics, public policies, and international relations. Entries are arranged in alphabetical order, and a list of entries by subject area appears in the front of each volume for ease of use. The encyclopedia contains a detailed index as well as extensive bibliographical references. Filling the need for an exhaustive overview of the empirical findings and reflections on politics, this reference resource is suited for undergraduate or graduate students who wish to be informed effectively and quickly on their field of study, for scholars seeking information on relevant research findings in their area of specialization or in related fields, and for lay readers who may lack a formal background in political science but have an interest in the field nonetheless. The International Encyclopedia of Political Science provides an essential, authoritative guide to the state of political science at the start of the 21st century and for decades to come, making it an invaluable resource for a global readership, including researchers, students, citizens, and policy makers. The encyclopedia was developed in partnership with the International Political Science Association. Key Themes: Case and Area Studies Comparative Politics, Theory, and Methods Democracy and Democratization Economics Epistemological Foundations Equality and Inequality Gender and Race/Ethnicity International Relations Local Government Peace, War, and Conflict Resolution People and Organizations Political Economy Political Parties Political Sociology Public Policy and Administration Qualitative Methods Quantitative Methods Religion
  constant variable example science: Scientific and Technical Aerospace Reports , 1991
  constant variable example science: Scientific Methods in Mobile Robotics Ulrich Nehmzow, 2006-07-09 Mobile robotics has until now focused on issues like design of controllers and robot hardware. It is now ready to embrace theoretical methods from dynamical systems theory, statistics and system identification to produce a formalized approach based on quantitative analyses and computer models of the interaction between robot, task and environment. This book is a step towards a theoretical understanding of the operation of autonomous mobile robots. It presents cutting-edge research on the application of chaos theory, parametric and non-parametric statistics and dynamical systems theory in this field. Practical examples and case studies show how robot behaviour can be logged, analysed, interpreted and modelled, aiding design of controllers, analysis of agent behaviour and verification of results. As the first book to apply advanced scientific methods to mobile robots it will interest researchers, lecturers and post-graduate students in robotics, artificial intelligence and cognitive science.
  constant variable example science: Introduction to the Philosophy of Science Merrilee H. Salmon, Clark Glymour, 1999-01-01 Originally published: Englewood Cliffs, N.J.: Prentice Hall, c1992.
  constant variable example science: Scientific American , 1919 Monthly magazine devoted to topics of general scientific interest.
  constant variable example science: Biomaterials Science William R Wagner, Shelly E. Sakiyama-Elbert, Guigen Zhang, Michael J. Yaszemski, 2020-05-23 The revised edition of the renowned and bestselling title is the most comprehensive single text on all aspects of biomaterials science from principles to applications. Biomaterials Science, fourth edition, provides a balanced, insightful approach to both the learning of the science and technology of biomaterials and acts as the key reference for practitioners who are involved in the applications of materials in medicine.This new edition incorporates key updates to reflect the latest relevant research in the field, particularly in the applications section, which includes the latest in topics such as nanotechnology, robotic implantation, and biomaterials utilized in cancer research detection and therapy. Other additions include regenerative engineering, 3D printing, personalized medicine and organs on a chip. Translation from the lab to commercial products is emphasized with new content dedicated to medical device development, global issues related to translation, and issues of quality assurance and reimbursement. In response to customer feedback, the new edition also features consolidation of redundant material to ensure clarity and focus. Biomaterials Science, 4th edition is an important update to the best-selling text, vital to the biomaterials' community. - The most comprehensive coverage of principles and applications of all classes of biomaterials - Edited and contributed by the best-known figures in the biomaterials field today; fully endorsed and supported by the Society for Biomaterials - Fully revised and updated to address issues of translation, nanotechnology, additive manufacturing, organs on chip, precision medicine and much more. - Online chapter exercises available for most chapters
  constant variable example science: Archives of Philosophy, Psychology and Scientific Methods , 1906
  constant variable example science: Journal of the National Cancer Institute , 1979
  constant variable example science: Geology, Grades 6 - 12 La Verne Logan, 2010-01-04 Topics include: the history of the science of geology, layers of the earth; plate tectonics; sedimentary, igneous, and metamorphic rocks; soil, weathering, and erosion; the rock cycle; and fossils. Glossary, materials lists, inquiry investigation rubric, and bibliography are included. --P. [4] of cover.
  constant variable example science: The Journal of Philosophy, Psychology and Scientific Methods Frederick James Eugene Woodbridge, Wendell T. Bush, 1918
  constant variable example science: SystemVerilog for Verification Chris Spear, 2006-09-15 This book provides practical information for hardware and software engineers using the SystemVerilog language to verify electronic designs. The authors explain methodology concepts for constructing testbenches that are modular and reusable. The text includes extensive coverage of the SystemVerilog 3.1a constructs, and reviews SystemVerilog 3.0 topics such as interfaces and data types. Included are detailed explanations of Object Oriented Programming and information on testbenches, multithreaded code, and interfacing to hardware designs.
  constant variable example science: Learn to Program with Small Basic Majed Marji, Ed Price, 2016-04-16 Small Basic is a free, beginner-friendly programming language created by Microsoft. Inspired by BASIC, which introduced programming to millions of first-time PC owners in the 1970s and 1980s, Small Basic is a modern language that makes coding simple and fun. Learn to Program with Small Basic introduces you to the empowering world of programming. You’ll master the basics with simple activities like displaying messages and drawing colorful pictures, and then work your way up to programming games! Learn how to: –Program your computer to greet you by name –Make a game of rock-paper-scissors using If/Else statements –Create an interactive treasure map using arrays –Draw intricate geometric patterns with just a few lines of code –Simplify complex programs by breaking them into bite-sized subroutines You’ll also learn to command a turtle to draw shapes, create magical moving text, solve math problems quickly, help a knight slay a dragon, and more! Each chapter ends with creative coding challenges so you can take your skills to the next level. Learn to Program with Small Basic is the perfect place to start your computer science journey.
  constant variable example science: AP Computer Science Principles Premium, 2024: 6 Practice Tests + Comprehensive Review + Online Practice Seth Reichelson, 2023-07-04 Be prepared for exam day with Barron’s. Trusted content from AP experts! Barron’s AP Computer Science Principles Premium, 2024 includes in‑depth content review and practice. It’s the only book you’ll need to be prepared for exam day. Written by Experienced Educators Learn from Barron’s‑‑all content is written and reviewed by AP experts Build your understanding with comprehensive review tailored to the most recent exam Get a leg up with tips, strategies, and study advice for exam day‑‑it’s like having a trusted tutor by your side Be Confident on Exam Day Sharpen your test‑taking skills with 6 full‑length practice tests–3 in the book, including a diagnostic test to target your studying, and 3 more online–plus detailed answer explanations for all questions Strengthen your knowledge with in‑depth review covering all Big Ideas on the AP Computer Science Principles exam Reinforce your learning with practice questions at the end of each chapter that cover all frequently tested topics Prepare for the AP Computer Science Principles Create Performance Task with 6 full sample Create Performance Tasks with complete written reports and requirements for scoring Robust Online Practice Continue your practice with 3 full‑length practice tests on Barron’s Online Learning Hub Simulate the exam experience with a timed test option Deepen your understanding with detailed answer explanations and expert advice Gain confidence with scoring to check your learning progress
  constant variable example science: The Electrical Review , 1889
  constant variable example science: The Telegraphic Journal and Electrical Review , 1889
  constant variable example science: C++ Toolbox for Verified Computing I Rolf Hammer, Matthias Hocks, Ulrich Kulisch, Dietmar Ratz, 2012-12-06 Our aim in writing this book was to provide an extensive set of C++ programs for solving basic numerical problems with verification of the results. This C++ Toolbox for Verified Computing I is the C++ edition of the Numerical Toolbox for Verified Computing l. The programs of the original edition were written in PASCAL-XSC, a PASCAL eXtension for Scientific Computation. Since we published the first edition we have received many requests from readers and users of our tools for a version in C++. We take the view that C++ is growing in importance in the field of numeri cal computing. C++ includes C, but as a typed language and due to its modern concepts, it is superior to C. To obtain the degree of efficiency that PASCAL-XSC provides, we used the C-XSC library. C-XSC is a C++ class library for eXtended Scientific Computing. C++ and the C-XSC library are an adequate alternative to special XSC-Ianguages such as PASCAL-XSC or ACRITH-XSC. A shareware version of the C-XSC library and the sources of the toolbox programs are freely available via anonymous ftp or can be ordered against reimbursement of expenses. The programs of this book do not require a great deal of insight into the features of C++. Particularly, object oriented programming techniques are not required.
  constant variable example science: High-Dimensional Probability Roman Vershynin, 2018-09-27 An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.
  constant variable example science: English Mechanic and World of Science , 1889
  constant variable example science: The Chemical News : and Journal of Physical Science , 1904
  constant variable example science: Feedback Systems Karl Johan Åström, Richard M. Murray, 2021-02-02 The essential introduction to the principles and applications of feedback systems—now fully revised and expanded This textbook covers the mathematics needed to model, analyze, and design feedback systems. Now more user-friendly than ever, this revised and expanded edition of Feedback Systems is a one-volume resource for students and researchers in mathematics and engineering. It has applications across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. Åström and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness. Features a new chapter on design principles and tools, illustrating the types of problems that can be solved using feedback Includes a new chapter on fundamental limits and new material on the Routh-Hurwitz criterion and root locus plots Provides exercises at the end of every chapter Comes with an electronic solutions manual An ideal textbook for undergraduate and graduate students Indispensable for researchers seeking a self-contained resource on control theory
  constant variable example science: The Chautauquan Theodore L. Flood, Frank Chapin Bray, 1890
  constant variable example science: Chemistry, Grades 5 - 8 Barbara R. Sandall, Ed.D., 2002-04-01 Provides curriculum resources and hands-on inquiry activities for teaching students in grades 5 through 8 about chemistry. Includes connections to children's literature and assessment documents.
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CONSTANT Definition & Meaning - Merriam-Webster
The meaning of CONSTANT is marked by firm steadfast resolution or faithfulness : exhibiting constancy of mind or attachment. How to use constant in a sentence. Synonym Discussion of …

CONSTANT Definition & Meaning | Dictionary.com
A theoretical or experimental quantity, condition, or factor that does not vary in specified circumstances. Avogadro's number and Planck's constant are examples of constants.

CONSTANT | definition in the Cambridge English Dictionary
CONSTANT meaning: 1. happening a lot or all the time: 2. staying the same, or not getting less or more: 3. A…. Learn more.

CONSTANT definition and meaning | Collins English Dictionary
A constant is a thing or value that always stays the same. In the world of fashion it sometimes seems that the only constant is ceaseless change. Two significant constants have been found …

Constant - definition of constant by The Free Dictionary
1. not changing; invariable: Conditions remained constant. 2. continuing without pause: constant noise. 3. regularly recurrent; continual; persistent: constant interruptions. 4. faithful; unswerving …

constant adjective - Definition, pictures, pronunciation and ...
Definition of constant adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.

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CONSTANT Definition & Meaning - Merriam-Webster
The meaning of CONSTANT is marked by firm steadfast resolution or faithfulness : exhibiting constancy of mind or attachment. How to use …

CONSTANT Definition & Meaning | Dictionary.com
A theoretical or experimental quantity, condition, or factor that does not vary in specified circumstances. …

CONSTANT | definition in the Cambridge English Dictionary
CONSTANT meaning: 1. happening a lot or all the time: 2. staying the same, or not getting less or more: 3. A…. …

CONSTANT definition and meaning | Collins English Dict…
A constant is a thing or value that always stays the same. In the world of fashion it sometimes seems that the only constant is ceaseless change. …